Anritsu Customer Experience Assurance

Anritsu is a leading test and measurement company that offers solutions for all the mobile network components – from the RAN, to the core, to the mobile devices –for both legacy and cutting edge technology.

Complementing the test and measurement equipment and its MasterClaw Service Assurance solution,
Anritsu has recently introduced a pure software based Virtual Probe (vProbe) that can be deployed as a VNF, includes performance optimizations for data capture in virtualized environments and is designed as a fully modular, cloud cluster-like VNF for resilience and horizontal scalability.

Key Links

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MasterClaw is the market leading multi-technology solution supporting NFV and SDN that gives you 24 x 7 x 365 visibility of network, service, Apps and customer along with unrivalled troubleshooting.

Sophisticated troubleshooting toolset

Resolution of complex issues in reduced time

MasterClaw is the foundation for providing value throughout your organization and now incorporates NFV and SDN support, smoothing your transition to a virtualized environment and protecting investments in Customer Experience Analysis.

Key Target Users

NOC/SOC centers

eoLive – Delivering Real-Time Analytics

User-Defined KPIs in real-time

eoLive is the latest generation real-time customer experience dashboard solution that turns data into real-time actionable intelligence about customer experience by alerting on issues that can impact services along with the number of customers impacted by any issue. eoLive provides real-time actionable intelligence to many groups including NOC/SOC, operations and engineering and gives instant prioritization for people constantly in information overload.

NOC/SOC tool

Proactive monitoring of customer impacting issues

Minimize network and service downtime and increase customer satisfaction

The Importance of Service Assurance Solution in Today’s Subscriber Focused Ecosystem

Service Assurance means maintaining the service; timely response to and resolution of customer or network triggered problems, tracking, reporting, managing and taking action to improve performance for all aspects of a service.

Key new features, including geographical representation (GIS) support that shows where problems are occurring and displays the number of subscribers impacted by any problem, gives instant prioritization of problems.

Key Target Users

Customer Care Teams

Network Operations

eoMind - Automating Insight

Network peace of mind. Instantly.

One of the largest challenges in telecoms today is making sense of the huge amounts of data available to management, operations, marketing, engineering and customer care in order to understand the subscribers’ Quality of Experience (QoE). There is simply too much data making it almost impossible to actually identify the issues in a short period of time.

Big data in telecoms is characterized by the large volumes of data (often many billions of event records per day are generated) and the many varieties of that data (the different interfaces, network and application technologies that are monitored). The data can be extracted from network elements, probes, sensors, log files and even from social networks.

For a variety of reasons - mostly a lack of time and resources - this priceless data is often left lying dormant; opportunities for improved service, cost, and customer retention are lost. Allowing this data to sit idle is clearly not an effective use of a CSP’s information asset. Identifying the insights inside the data streams is therefore key to identifying issues that affect your customers and also to respond to threats and opportunities for service delivery.

A continuous process of extraction of information is required to maximize the investment in data sources that CSPs have already made.

Key Target Users

Network Operators who need to analyse huge amount of data coming from their network

Operational executives who would benefit from key insights that impact the performance of the network and subscriber experiences

Tactical officers who need to identify the issue and possible causes without specialist involvement